 |
| Titel |
Impact of LST-Based Soil Mositure Index on an Operational Flood Forecasting System |
| VerfasserIn |
Fabio Castelli, Lorenzo Campo, Francesca Caparrini, Roberto Rudari |
| Konferenz |
EGU General Assembly 2011
|
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 13 (2011) |
| Datensatznummer |
250055033
|
|
|
|
|
|
| Zusammenfassung |
| This paper assesses the impact of soil moisture indexes that can be retrieved via different techniques from thermal IR satellite observations on the re-initialization of flood prediction models. The work considers 2 types of index, one based on thermal inertia, and the second that puts together satellite derived LST and a simplified energy balance model using a variational data assimilation schemes. Results are discussed with reference to an operational flood forecasting system in Tuscany, Central Italy. |
|
|
|
|
|
|